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Division Spotlight
Nuclear Installations Safety
Devoted specifically to the safety of nuclear installations and the health and safety of the public, this division seeks a better understanding of the role of safety in the design, construction and operation of nuclear installation facilities. The division also promotes engineering and scientific technology advancement associated with the safety of such facilities.
Meeting Spotlight
Utility Working Conference and Vendor Technology Expo (UWC 2024)
August 4–7, 2024
Marco Island, FL|JW Marriott Marco Island
Standards Program
The Standards Committee is responsible for the development and maintenance of voluntary consensus standards that address the design, analysis, and operation of components, systems, and facilities related to the application of nuclear science and technology. Find out What’s New, check out the Standards Store, or Get Involved today!
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Latest News
Virginia utility considers SMRs
Dominion Energy Virginia has issued a request for proposals from leading nuclear companies to study the feasibility of putting a small modular reactor at its North Anna nuclear power plant.
While the utility says it is not a commitment to build an SMR at the site, the RFP is “an important first step in evaluating the technology and the North Anna site to support Dominion Energy customers’ future energy needs consistent with the company’s most recent Integrated Resource Plan.”
Kazunori Sasaki, Hiroo Kanamaru, Mitsuo Tanaka
Nuclear Technology | Volume 95 | Number 3 | September 1991 | Pages 349-365
Technical Paper | Reactor Operation | doi.org/10.13182/NT91-A34583
Articles are hosted by Taylor and Francis Online.
A parallelism analysis integrated system (PARIS) with a multiple instruction stream-multiple data stream (MIMD) scheme has been developed to analyze simulation programs and generate a parallel execution program for parallel processing. This simulation program can predict effects of anomalies in nuclear plants. The PARIS system first analyzes task parallelism and the processing time of each task after a user divides a program developed for a single processor into many elementary assignment units. The system then assigns tasks to processors using the critical path/most immediate successor first scheduling algorithm to minimize the overall processing time, and it generates the parallel execution program, which can be executed with a tightly coupled multiprocessor. The PARIS system has two scheduling methods so it can assign tasks to the multiprocessor both before and during execution of the program. Thus, optimum task scheduling is accomplished even when the processing time of each task changes according to accident analyses. The PARIS system is assessed using a nuclear power plant analyzer code (NUPAC-1) that includes reactor coolant system and steam generator models. The results show that the NUPAC-1 processing time with 7 processors is 3.5 times as fast as with a single processor. The fast-running capability is 5.4 times as fast as real time in steady-state and transient analyses and 4.0 times as fast in accident analyses. Furthermore, the results show that the PARIS system can be adapted to realize a predictive simulator using the NUPAC-1 code with few nodes.
